Linear Algebra for Quantum Computing: Vectors, Matrices, and Inner Products
Master the linear algebra underlying quantum computing: Dirac notation, inner products, tensor products, Hermitian and unitary matrices, eigenvalues, and partial trace, all with numpy examples.